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Voxel reconstruction has received increasing interest in recent times, driven by the need for efficient reconstructions of real world scenes from video images. The voxel model has proven useful for activity recognition and motion capture technologies. However most current voxel reconstruction algorithms operate on a fairly small 3-D real world volume and(More)
In this paper we tackle the problem of recognising movement classes in real-time surveillance video. We use a popular public dataset, the CAVIAR dataset, which contains ground truth labeling of people and their activities within a shopping centre environment. The task of movement classification is often performed using simple heuristic rules, and(More)
Vision-based human motion tracking has gained significant interest in recent years, as the need for more intuitive human–computer interaction paradigms are sought after. Immersive environments, such as large-scale displays and virtual reality systems are particularly suitable for such interaction mechanisms, as they provide a controlled basis for(More)
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